CYREX
AI Security & LLM Penetration Testing
AI Security Service

AI Security & LLM Penetration Testing

If your AI has access to data, logic, or execution privileges, it expands your attack surface. AI systems don't just behave differently than traditional applications - they fail differently, too. We provide Pair Hacking - adversarial, intelligence-augmented testing to secure your models and the infrastructure powering them.

LLM & Generative AI Expertise

Pair Hacking Methodology

Model + Infrastructure Testing

What Is AI Security Testing?

A specialized offensive audit designed to identify vulnerabilities in Large Language Models (LLMs), machine learning architectures, and the AI-powered applications that rely on them.

LLM Applications: Identifying prompt injection and jailbreaking risks in user-facing generative interfaces.
RAG Systems: Auditing Retrieval-Augmented Generation to ensure models don't pull unauthorized sensitive data from your private vector databases.
AI Agents: Stress-testing autonomous agents that have execution privileges—ensuring they cannot be manipulated into performing unauthorized actions.
ML Model Integrity: Evaluating models for training data poisoning, inversion attacks, and intellectual property theft (model extraction).
AI APIs & Orchestration: Securing the middleware and APIs (like LangChain or Semantic Kernel) that connect your model to the world.
Automation Pipelines: Hardening the CI/CD workflows where models are trained, versioned, and deployed to production.
We test both model-level vulnerabilities and infrastructure-level weaknesses.

AI security is not traditional penetration testing. It requires a deep understanding of probabilistic systems, prompt dynamics, training data exposure, and inference behavior to uncover risks that static scanners simply cannot see.

Why AI Systems Introduce New Risks

Traditional applications follow fixed code paths. AI systems respond probabilistically, creating a non-deterministic attack surface where the same input can yield different - and potentially exploitable - results.

Probabilistic Vulnerability Discovery
ADVERSARIAL AI TESTING

Probabilistic Vulnerability Discovery

Iterative, conversational, and adaptive exploitation

Prompt Injection: Crafting inputs that bypass system instructions to seize control of the model’s output or logic.
Context & Token Manipulation: Exploiting the model’s limited context window to "blind" it to safety guardrails or force unauthorized behavior.
Hallucination Abuse: Forcing the model to generate convincing but malicious misinformation or fake API endpoints that lead to further exploitation.
Insecure Agentic Execution: Manipulating AI agents that have "tool-use" privileges to execute unauthorized database queries or system commands.
Conversational Data Exfiltration: Using indirect injection to trick the model into leaking its training data, system prompts, or private user information.
Model Extraction & IP Theft: Performing specialized queries to "clone" a proprietary model’s behavior, effectively stealing your intellectual property.
Training Data Poisoning: Identifying risks where malicious data can be introduced during fine-tuning to create "backdoors" in model behavior.
Inference Attacks: Probing the model to reconstruct sensitive information about the individuals or datasets used in its training.
If your AI integrates with internal databases, APIs, or execution pipelines, the risk is no longer theoretical - it is a direct path to your core infrastructure.
Pair Hacking: The Intelligence-Led Standard

Pair Hacking: The Intelligence-Led Standard for AI Security

AI exploitation requires layered pressure. Cyrex utilizes Pair Hacking - the synergy of our senior security engineers and proprietary AI agents - to simulate the complex, adaptive behavior of a live threat actor.

Adversarial Orchestration

Our engineers utilize proprietary agents to generate and iterate through thousands of adversarial prompt permutations, identifying jailbreaks and injection vectors that human-only testing would miss.

RAG Pipeline & Data Integrity

While our agents handle the rapid enumeration of your RAG retrieval paths, our engineers validate the logic to ensure the model cannot be tricked into pulling unauthorized internal documents.

Privilege Escalation via AI Tools

We test whether AI-controlled "tools" (like file-readers or email-senders) can be manipulated into executing high-privilege system commands or unauthorized logic.

Adversarial Dialogue Loops

AI abuse requires persistence. We use our Pair Hacking workflow to maintain "multi-turn" conversational attacks, where our AI-augmented agents pressure the model over thousands of prompts to bypass safety guardrails.

Iterative & Adaptive Testing

Our methodology mirrors the iterative nature of modern adversarial research. We use AI to automate the "noise," ensuring our human experts spend their time orchestrating the complex, cascading exploits that define real-world AI risk.

One engineer manipulates the model’s context window; the other targets the APIs and backend integrations. This ensures no gap exists between the AI’s response and the infrastructure's reaction.

AI-Specific Attack Vectors We Test

Comprehensive coverage across prompt injection, data leakage, agent abuse, and model extraction

We simulate attempts to manipulate AI behavior through adversarial prompting:

Override system prompts
Extract hidden instructions
Bypass content filters
Trigger unsafe tool usage
Leak sensitive context data

Infrastructure & Integration Security

AI systems are rarely standalone - we also test supporting infrastructure

API Endpoints
Rate Limiting
Cloud Configuration
Access Controls
RAG Segmentation
Key Storage
Logging & Monitoring
AI security is inseparable from application and network security

When to Conduct AI Security Testing

Before public AI feature release
Before enterprise client rollout
After integrating RAG pipelines
When enabling AI agents or automation
During compliance preparation
After model fine-tuning or retraining
If your AI interacts with user data or internal systems, structured security testing is required

Trusted by the Best

Real experiences from teams we’ve protected

“Cyrex earned our trust through deep domain knowledge and high-quality deliverables. They are the experts for securing complex software and platforms.”
Immutable
“A true partnership mentality. Their experts bring deep technical expertise and a structured, methodical approach to securing our infrastructure.”
Amazon Games
“Cyrex made penetration testing a breeze. Their insights are spot-on and their understanding of the gaming industry is exceptional.”
AccelByte
“Market leaders in security. Their detailed reports and suggested actions gave us the insight needed to ensure our games were stable from day one.”
Sumo Digital
“Professional and enjoyable. Their team delivered detailed, thorough results with minimal effort required on our part.”
Stunlock Studios
“Invaluable for our blockchain products. Their thorough investigations ensure a safer environment for our users and players.”
Project Seed
“Cyrex earned our trust through deep domain knowledge and high-quality deliverables. They are the experts for securing complex software and platforms.”
Immutable
“A true partnership mentality. Their experts bring deep technical expertise and a structured, methodical approach to securing our infrastructure.”
Amazon Games
“Cyrex made penetration testing a breeze. Their insights are spot-on and their understanding of the gaming industry is exceptional.”
AccelByte
“Market leaders in security. Their detailed reports and suggested actions gave us the insight needed to ensure our games were stable from day one.”
Sumo Digital
“Professional and enjoyable. Their team delivered detailed, thorough results with minimal effort required on our part.”
Stunlock Studios
“Invaluable for our blockchain products. Their thorough investigations ensure a safer environment for our users and players.”
Project Seed
“Cyrex earned our trust through deep domain knowledge and high-quality deliverables. They are the experts for securing complex software and platforms.”
Immutable
“A true partnership mentality. Their experts bring deep technical expertise and a structured, methodical approach to securing our infrastructure.”
Amazon Games
“Cyrex made penetration testing a breeze. Their insights are spot-on and their understanding of the gaming industry is exceptional.”
AccelByte
“Market leaders in security. Their detailed reports and suggested actions gave us the insight needed to ensure our games were stable from day one.”
Sumo Digital
“Professional and enjoyable. Their team delivered detailed, thorough results with minimal effort required on our part.”
Stunlock Studios
“Invaluable for our blockchain products. Their thorough investigations ensure a safer environment for our users and players.”
Project Seed

AI Expands Capability.
It Also Expands Risk.

Adversaries are testing your AI systems. Are you?

Adversaries are already probing your AI systems for weaknesses. Are you? Engage Cyrex for structured Pair-Hacked AI security testing and adversarial validation. Securing AI requires a deep understanding of both probabilistic behavior and system architecture - we test both.

Prompt Injection TestingAdversarial ML ExpertiseAPI & Infrastructure Security